Experienced software engineer java / python (full stack or back end) Jobs

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Senior AI Engineer

Kanerika Software -
Hyderabad, Telangana

Apply Now

Job details

Full-time

Benefits

Provident Fund
Paid holidays
Health insurance
Paid time off
Flexible schedule
Paid sick time

Qualifications

TensorFlow
Cloud infrastructure
Computer Science
Software deployment
Java
Master's degree
AWS
Analysis skills
Bachelor's degree
Machine learning
Deep learning
Natural language processing
APIs
Agile
Data science
DynamoDB
AI
Communication skills
Python
Data Science

Full job description

Job Information

Date Opened

05/11/2026

Job Type

Full time

Work Experience

3-5 years

Industry

IT Services

City

Hyderabad

State/Province

Telangana

Country

India

Zip/Postal Code

500001

Job Description

We are seeking an experienced Senior AI Engineer to join our dynamic team, driving innovation in AI-driven solutions with a global impact. This role is specifically tailored for a highly motivated professional with a strong technical background in Python and Java, hands-on expertise in developing Retrieval-Augmented Generation (RAG)-based chatbots, Machine Learning, Deep Learning, and solid cloud deployment experience, preferably on AWS. As our Senior AI Engineer, you will spearhead the end-to-end development lifecycle, including solution architecture, design, implementation, deployment, and scaling of cutting-edge AI applications. Your leadership will ensure the delivery of high-performance, reliable, and impactful solutions.

What You Will Do:

Lead the design and development of AI-driven applications, particularly focusing on RAG based chatbot solutions.
Architect robust solutions leveraging Python and Java to ensure scalability, reliability, and maintainability.
Deploy, manage, and scale AI applications using AWS cloud infrastructure, optimizing performance and resource utilization.
Collaborate closely with cross-functional teams to understand requirements, define project scopes, and deliver solutions effectively.
Mentor team members, providing guidance on best practices in software development, AI methodologies, and cloud deployments.
Ensure solutions meet quality standards, including thorough testing, debugging, performance tuning, and documentation.
Continuously research emerging AI technologies and methodologies to incorporate best practices and innovation into our products

Requirements

Required Skills & Qualifications

Bachelor's or master's degree in computer science, Engineering, Data Science, Mathematics, Statistics or related fields.
At least 3 years of professional experience in AI/Machine Learning engineering.
Strong programming skills in Python and Java.
Demonstrated hands-on experience building Retrieval-Augmented Generation (RAG)- based chatbots or similar generative AI applications.
Proficiency in cloud platforms, particularly AWS, including experience with EC2, Lambda, SageMaker, DynamoDB, CloudWatch, and API Gateway.
Solid understanding of AI methodologies, including natural language processing (NLP), vector databases, embedding models, and large language model integrations.
Experience with leading projects or teams, managing technical deliverables, and ensuring high-quality outcomes.

Preferred Qualifications:

AWS certifications (e.g., AWS Solutions Architect, AWS Machine Learning Specialty).
Familiarity with popular AI/ML frameworks and libraries such as Hugging Face Transformers, TensorFlow, PyTorch, LangChain, or similar.
Experience in Agile development methodologies.
Excellent communication skills, capable of conveying complex technical concepts clearly and effectively.
Strong analytical and problem-solving capabilities, with the ability to navigate ambiguous technical challenge

Benefits

Employee Benefits

1. Culture:

a. Open Door Policy: Encourages open communication and accessibility to management.

b. Open Office Floor Plan: Fosters a collaborative and interactive work environment.

c. Flexible Working Hours: Allows employees to have flexibility in their work schedules.

d. Employee Referral Bonus: Rewards employees for referring qualified candidates.

e. Appraisal Process Twice a Year: Provides regular performance evaluations and feedback.

2. Inclusivity and Diversity:

a. Hiring practices that promote diversity: Ensures a diverse and inclusive workforce.

b. Mandatory POSH training: Promotes a safe and respectful work environment.

3. Health Insurance and Wellness Benefits:

a. GMC and Term Insurance: Offers medical coverage and financial protection.

b. Health Insurance: Provides coverage for medical expenses.

c. Disability Insurance: Offers financial support in case of disability.

4. Child Care & Parental Leave Benefits:

a. Company-sponsored family events: Creates opportunities for employees and their families to bond.

b. Generous Parental Leave: Allows parents to take time off after the birth or adoption of a child.

c. Family Medical Leave: Offers leave for employees to take care of family members' medical needs.

5. Perks and Time-Off Benefits:

a. Company-sponsored outings: Organizes recreational activities for employees.

b. Gratuity: Provides a monetary benefit as a token of appreciation.

c. Provident Fund: Helps employees save for retirement.

d. Generous PTO: Offers more than the industry standard for paid time off.

e. Paid sick days: Allows employees to take paid time off when they are unwell.

f. Paid holidays: Gives employees paid time off for designated holidays.

g. Bereavement Leave: Provides time off for employees to grieve the loss of a loved one.

6. Professional Development Benefits:

a. L&D with FLEX- Enterprise Learning Repository: Provides access to a learning repository for professional development.

b. Mentorship Program: Offers guidance and support from experienced professionals.

c. Job Training: Provides training to enhance job-related skills.

d. Professional Certification Reimbursements: Assists employees in obtaining professional certifications.

e. Promote from Within: Encourages internal growth and advancement opportunities

Apply Now

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